Bibliographic record
Abstract
The Canadian Research Institute for Law and the Family began a study of perceptions of polyamory in Canada in June 2016. The project is only midway through its course, but the data collected so far have important implications for law and policy in the coming decades, as the meaning of family continues to evolve. The term polyamory is a mash-up of the Greek word for much or many and the Latin word for love. As these roots suggest, people who are polyamorous are, or prefer to be, involved in more than one intimate relationship at a time. Some polyamorists are involved in stable, long-term, loving relationships involving two or more other people. Others are simultaneously engaged in a number of relationships of varying degrees of permanence and commitment. Still others are involved in a web of concurrent relationships ranging from short-term relationships that are purely sexual in nature to more enduring relationships characterized by deep emotional attachments. Polyamory The practice or condition of participating in more than one intimate relationship at a time. It is usually not related to religion and it is unrelated to marriage. Polygamy The practice or condition of having more than one spouse, typically a wife, at one time, usually for religious reasons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.036 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".